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Security2026-07-24 · source-backed
Ex-Google security execs deploying agents that analyze each inbound message like a human analyst would. The round is less interesting than the thesis: heuristic and signature detection assumed attacker-side writing effort was a constraint. It isn't anymore.
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GLM-5.1 from Zhipu AI scored 58.4% on SWE-bench Pro. GPT-5.4 scored 57.7%. Claude Opus 4.6 scored 57.3%. That's the first time an open-weight model has ever topped a major coding benchmark against the best proprietary models. The specs matter. GLM-5.1 is a 754B-parameter mixtu...
poetiq.ai — Detailed technical breakdown of how a $40K-hardware startup achieved 54% on ARC-AGI-2 (vs. Google's 45% at nearly 3x the cost). The key innovation: "learned test-time reasoning" — an iterative refinement meta-system where solutions are generated, receive structured...
Hundreds of conversations became discoverable via site:claude.ai/share queries, surfacing API keys, resumes, financial data, crypto wallet details, and clinical trial records. The share pages had no noindex tags. Anthropic's robots.txt told crawlers to skip them, but robots.tx...
Satya Nadella said companies routing everything through a single proprietary lab may not survive. His argument: you hand that lab your most sensitive business context, and the lab can turn it against you as a competitor. His prescription is an orchestration layer — keep the ha...
In its Q3 FY2026 earnings ($82.9B revenue, +18%), Microsoft disclosed something more important than the revenue number: a structural shift in how software gets sold. The company's AI business crossed $37B annual run rate, up 123% year-over-year. But the real signal is the pric...
1. Flip your multi-model pipeline to review-then-generate. Instead of using a reasoning model to plan before code generation, let the specialist generate freely and use reasoning tokens for review. Paper shows 90.2% pass@1 vs 87.2% for the planning pattern. Source 2. Audit you...
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